Computer science research at Minnesota

In the talk, he discusses how plant breeding and agriculture is an interesting research domain for robotics, and shares examples of relevant work from his lab.

This new research by Ph.D. student Qiushi Wu and assistant professor Kangjie Lu has already drawn significant interest from the security and open-source communities.

The CS&E assistant professor discussed her work at the intersection of human-centered computing, ML, and high-risk mental illness behaviors.

Work from Professor Victoria Interrante and her students will be presented at the upcoming IEEE Conference on Virtual Reality and 3D User Interfaces.

Professor Pen-Chung Yew had two papers accepted for this year's International Symposium on Code Generation and Optimization.

CS&E's Hyun Soo Park will lead artificial intelligence research to better understand drivers' behavior to increase safe driving

A team of CS&E students is working with assistant professor Evan Suma Rosenberg on more immersive options to video conferencing.

This recognition from the Association for Computing Machinery celebrates his long-term commitment and outstanding scientific contributions to computing.

“SLIM: Sparse Linear Methods for Top-N Recommender Systems” was published by alumna Xia Ning (Ph.D, 2012) and her advisor, Professor George Karypis in 2011.

From exploring shipwrecks to air-dropping supplies in a pandemic, CS&E faculty and students are designing robots for the 21st century.

CS&E associate professor Paul Schrater is part of the team who, for the first time, developed a method to measure thoughts.

Associate Professor Knights is one of the most influential researchers in his fields, according to analysis of citation counts by Clarivate Analytics.

CS&E assistant professor Ju Sun is part of the team aiming to add tracking systems on electric scooters to improve safety of riders on the road.

CS&E's Ju Sun and colleagues from the Medical School have utilized machine learning to diagnose COVID-19 via X-ray imaging.

CS&E's Shashi Shekhar is using privacy-protected spatial data collected from cell phones to understand how Minnesotans responded to the pandemic.

The project ‘Mixed Reality Spatial Interaction for Diverse Communities’ aims to get technology into community hands while accounting for pandemic restrictions.